Tiktok - Seattle, WA
posted 4 days ago
TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S., created to enhance focus and governance on our data protection policies and content assurance protocols to ensure the safety of U.S. users. Our commitment is to provide oversight and protection of the TikTok platform and U.S. user data, allowing millions of Americans to continue using TikTok for learning, earning, self-expression, and entertainment. The teams within USDS that deliver on this commitment span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions, and more. The Governance and Experience Algorithm team, established in September 2020, is dedicated to supporting various businesses with advanced AI technology. This includes combating risks and violations in e-commerce scenarios and building a healthy e-commerce ecosystem while improving platform service capabilities. As a Machine Learning Engineer in this team, you will be responsible for identifying algorithms for risk, violation, and low-quality issues in e-commerce scenarios, including products, shopping cart short videos, and live streaming with products. You will also mine and identify algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators. Your role will involve optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering, as well as data construction, instruction fine-tuning, and alignment for large models in the e-commerce domain. You will explore reinforcement learning and operational research algorithms to improve audit quality and efficiency. This position requires a hybrid work schedule, with employees expected to work in the office three days a week, or as directed by their manager/department, with regular reviews of the hybrid work model.